Nondestructive method using transmission line for detection of foreign objects in food

Kon, Seitaro; Watabe, K.; Horibe, Masahiro

doi:10.1109/sas.2018.8336728

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Microwave NDT using microwave transmission line (MTL) sensor is presented in [41], [47]. In MTL technique, the inspected specimen acts as a conductive material of a microwave circuit.…”

Section: Conventional Microwave Ndt Techniquesmentioning

confidence: 99%

“…The high capability of MTL to evaluate the materials' porosity employs it as an effective technique to evaluate the purity of honey to ensure the production quality [48]. Also, MTL is used in [47] to detect invisible pieces of stone and glass which were put in the vegetable salad. The proposed method measured the ratio of the real and imaginary parts of the transmitted signals to detect the foreign objects in the food.…”

Section: Conventional Microwave Ndt Techniquesmentioning

confidence: 99%

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Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

2019

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The development in materials technology has produced stronger, lighter, stiffer, and more durable electrically insulating composites which are replacing metals in many applications. These composites require alternative inspection techniques because the conventional nondestructive testing (NDT) techniques such as thermography, eddy currents, ultrasonic, X-ray and magnetic particles have limitations of inspecting them. Microwave NDT technique employing open-ended rectangular waveguides (OERW) has emerged as a promising approach to detect the defects in both metal and composite materials. Despite its promising results over conventional NDT techniques, OERW microwave NDT technique has shown numerous limitations in terms of poor spatial resolution due to the stand-off distance variations, inspection area irregularities and quantitative estimation in imaging the size of defects. Microwave NDT employing OERW in conjunction with robust artificial intelligence approaches have tremendous potential and viability for evaluating composite structures for the purpose mentioned here. Artificial intelligence techniques with signal processing techniques are highly possible to enhance the efficiency and resolution of microwave NDT technique because the impact of artificial intelligence approaches is proven in various conventional NDT techniques. This paper provides a comprehensive review of NDT techniques as well as the prospect of using artificial intelligence approaches in microwave NDT technique with regards to other conventional NDT techniques. INDEX TERMS Microwave nondestructive testing, open-ended rectangular waveguides, artificial intelligence.

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“…Microwave NDT using microwave transmission line (MTL) sensor is presented in [41], [47]. In MTL technique, the inspected specimen acts as a conductive material of a microwave circuit.…”

Section: Conventional Microwave Ndt Techniquesmentioning

confidence: 99%

Section: Conventional Microwave Ndt Techniquesmentioning

confidence: 99%

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

2019

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Foreign objects detection using deep learning techniques for graphic card assembly line

Kuo

Nursyahid

2022

J Intell Manuf

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An assembly is a process in which operators and machines manufacture products from semi-finished components into finished goods. It is important to conduct quality control at the end of the assembly line and ensure that no foreign object is put on the conveyor. This study uses a case of foreign object detection in graphics card assembly line to create models which is capable of detecting and marking foreign objects using convolutional neural network (CNN) models. This study uses Inception Resnet v2 to conduct the foreign object classification and Attention Residual U-net++ for the foreign object segmentation. Both benchmark datasets and case study dataset are employed for model evaluation. The result shows that the proposed models can have more promising result than some existing models.

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Detection of Hidden non-Metallic Objects Using Electromagnetic Field

Kon,

Kaji

2024

2024 Ieee Sensors

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Nondestructive method using transmission line for detection of foreign objects in food

Cited by 3 publications

References 19 publications

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

Foreign objects detection using deep learning techniques for graphic card assembly line

Detection of Hidden non-Metallic Objects Using Electromagnetic Field

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